🎯 The Challenge: Businesses Need AI That Stays On-Script
General AI chatbots will answer anything — including incorrect, off-brand, or irrelevant information. Businesses need AI assistants that:
- Answer ONLY From Approved Company Data: No hallucinations, no off-topic responses — only verified business information.
- Gracefully Handle Unknown Questions: When a user asks something outside the knowledge base, redirect them to the right contact channel instead of guessing.
- Deliver Instant, Accurate Customer Support 24/7: Replace the need for a human support agent for repetitive FAQ-style questions.
The goal was to build an AI-powered Knowledge Base Bot that only speaks from provided documentation — a production-ready customer support system for any business.
🛠️ The Solution: Document-Grounded AI Agent Architecture
I engineered a Knowledge Base Bot using n8n as the workflow engine, connected to Groq's LLaMA 3.3 70B model with custom prompt engineering that enforces strict document-grounded behavior.
Tech Stack
- Workflow Automation: n8n (self-hosted)
- AI Inference Engine: Groq API
- Large Language Model: LLaMA 3.3 70B Versatile
- Cloud Hosting: Render (24/7 uptime)
- Communication Protocol: Webhooks (REST API)
- Data Format: JSON
- Prompt Engineering: Document grounding + behavioral guardrails
Architecture Overview
The system accepts two inputs per request — a user question and a knowledge base document — then generates responses constrained exclusively to the provided data:
- Trigger: User sends a POST request containing a question and a knowledge base document to the webhook endpoint.